Account under test: son.pham9@mservice.com.vn
GCP project (owns the OAuth client): momo-workspace-mcp-preview (project # 193921716285)
OAuth client (Desktop): 193921716285-8fh0o97ipqbve0dg5quubj29gklggqdg.apps.googleusercontent.com
(client secret intentionally omitted — never share it publicly)
Guide: https://developers.google.com/workspace/guides/configure-mcp-servers
Project: momo-workspace-mcp-preview (project number 193921716285)
From: son.pham9@mservice.com.vn
Context: Following Google's official guide — https://developers.google.com/workspace/guides/configure-mcp-servers
The OAuth Desktop client you gave me is configured and the MCP client connects fine. The only remaining blocker is that the hosted MCP service APIs are not enabled on the project. I don't have admin access to this project, so could you please enable them?
✅ Confirmed enabled: gmailmcp + gmail, drivemcp + drive, calendarmcp + calendar-json. Thank you!
Cached input price is everything. A coding agent's token mix is 95.6% cache reads (measured: 8.04B tokens, May 2026). Headline input price is nearly irrelevant.
Formula: Effective $/1M = cache_read × 0.956 + cache_write × 0.027 + input × 0.013 + output × 0.003
| # | Model | Cache Read | Input | Output | Cache Write | Effective $/1M | vs cheapest | AA Intelligence Index |
|---|
Target: M2 / M3 / M4 / M5 MacBook Pro 14" or MacBook Air, 24GB or 32GB RAM. Trusted-dealer-first list. All prices VND, verified live the day of publication. Best deals at the top.
Version: v10 | Prepared by: Son Pham | Date: 2026-05-08
MOAT is MoMo's AI data agent that answers business questions in natural language against BigQuery. This document describes the evaluation framework — both how we measure quality (IFAB) and how we continuously improve without degrading what already works.
Key points:
| name | use-my-pkm |
|---|---|
| description | Access and work with the user's personal knowledge management vault using $MY_PKM_PATH environment variable. Use when the user asks to work with their PKM system, notes, Kanban board, inbox items, or knowledge vault. Supports reading/writing notes, managing Kanban tasks, organizing inbox, navigating the vault structure via progressive disclosure, and semantic search via qmd (BM25 + vector + reranking). Also use when the user asks to search, find, or look up notes by meaning/concept. |
| private | true |
Work with Boss's personal knowledge wiki (LLM Wiki pattern, Karpathy-style).